Investors' Trade Size and Trading Responses around Earnings Announcements: An Empirical Investigation

2001 ◽  
Vol 76 (2) ◽  
pp. 221-244 ◽  
Author(s):  
Nilabhra Bhattacharya

Prior research suggests that the earnings expectations of a segment of the market can be described by the seasonal random-walk model. Prior research also provides evidence that less wealthy and less informed investors tend to make smaller trades (small traders) than wealthier and betterinformed investors (large traders). I hypothesize that it is the earnings expectations of small traders that are associated with predictions from the seasonal random-walk model. By directly analyzing the trading activities of small and large traders, this study provides evidence that is largely consistent with the hypotheses. Specifically, small traders' trading response around earnings announcements is increasing in the magnitude of seasonal random-walk forecast errors, even after controlling for absolute analyst forecast errors, contemporaneous price changes, and market-wide trading. Supplementary analysis reveals that this effect is largely confined to firms with relatively impoverished information environments (i.e., smaller firms and firms with little to moderate analyst following).

Author(s):  
Ray Pfeiffer ◽  
Karen Teitel ◽  
Susan Wahab ◽  
Mahmoud Wahab

Previous research indicates that analysts’ forecasts are superior to time series models as measures of investors’ earnings expectations. Nevertheless, research also documents predictable patterns in analysts’ forecasts and forecast errors. If investors are aware of these patterns, analysts’ forecast revisions measured using the random walk expectation are an incomplete representation of changes in investors’ earnings expectations. Investors can use knowledge of errors and biases in forecasts to improve upon the simple random walk expectation by incorporating conditioning information. Using data from 2005 to 2015, we compare associations between market-adjusted stock returns and alternative specifications of forecast revisions to determine which best represents changes in investors’ earnings expectations. We find forecast revisions measured using a ‘bandwagon expectations’ specification, which includes two prior analysts’ forecast signals and provides the most improvement over random-walk-based revision measures. Our findings demonstrate benefits to considering information beyond the previously issued analyst forecast when representing investors’ expectations of analysts’ forecasts.


2011 ◽  
Vol 86 (2) ◽  
pp. 385-416 ◽  
Author(s):  
Benjamin C. Ayers ◽  
Oliver Zhen Li ◽  
P. Eric Yeung

ABSTRACT: We examine whether the two distinct post-earnings-announcement drifts associated with seasonal random-walk-based and analyst-based earnings surprises are attributable to the trading activities of distinct sets of investors. We predict and find that small (large) traders continue to trade in the direction of seasonal random-walk-based (analyst-based) earnings surprises after earnings announcements. We also find that when small (large) traders react more thoroughly to seasonal random-walk- (analyst-) based earnings surprises at the earnings announcements, the respective drift attenuates. Further evidence suggests that delayed small trades associated with random-walk-based surprises are consistent with small traders’ failure to understand time-series properties of earnings, whereas delayed large trades associated with analyst-based surprises are more consistent with a longer price discovery process. We also find that the analyst-based drift has declined in recent years.


2005 ◽  
Vol 80 (1) ◽  
pp. 189-219 ◽  
Author(s):  
Michael D. Kimbrough

I extend prior research on the information content of conference calls by examining whether they accelerate analysts' and investors' responses to the future implications of currently announced earnings. I find that the initiation of conference calls is associated with a significant reduction in the serial correlation in analyst forecast errors, a measure of initial analyst underreaction. I also find that the initiation of conference calls is associated with significant reductions in two measures of initial investor underreaction: (1) post-earnings announcement drift and (2) the proportion of the total market reaction to firms' earnings announcements that is “delayed” (i.e., that is attributable to post-earnings announcement drift). The reduction in post-earnings announcement drift surrounding conference call initiation is concentrated in the set of sample firms where drift is most severe (i.e., the smallest, least heavily traded sample firms) while the largest, most heavily traded sample firms do not exhibit significant drift either before or after conference call initiation. Robustness tests, including analyses of matched samples of nonconference call firms, indicate that the results are not driven by general increases in analyst and investor sophistication over time or by contemporaneous increases in the information and trading environments of conference call initiators.


2010 ◽  
Vol 33 (8) ◽  
pp. 1418-1426 ◽  
Author(s):  
Wei ZHENG ◽  
Chao-Kun WANG ◽  
Zhang LIU ◽  
Jian-Min WANG

2021 ◽  
Vol 34 (4) ◽  
Author(s):  
M. Muge Karaman ◽  
Jiaxuan Zhang ◽  
Karen L. Xie ◽  
Wenzhen Zhu ◽  
Xiaohong Joe Zhou

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